CASINO manual - Theory of Condensed Matter
CASINO manual - Theory of Condensed Matter
CASINO manual - Theory of Condensed Matter
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19.3 The core-polarization potential energy . . . . . . . . . . . . . . . . . . . . . . . . . . . 139<br />
19.4 Evaluation <strong>of</strong> infinite Coulomb sums . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140<br />
20 Model interactions 145<br />
20.1 Square-well interaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145<br />
20.2 Modified Pöschl-Teller interaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145<br />
20.3 Hard sphere . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145<br />
21 Multi-determinant expansions 145<br />
21.1 Compressed multi-determinant expansions . . . . . . . . . . . . . . . . . . . . . . . . . 146<br />
22 The Jastrow factor 146<br />
22.1 General form <strong>of</strong> <strong>CASINO</strong>’s Jastrow factor . . . . . . . . . . . . . . . . . . . . . . . . . 146<br />
22.2 The u, χ and f terms in the Jastrow factor . . . . . . . . . . . . . . . . . . . . . . . . 147<br />
22.3 The RPA form <strong>of</strong> the u term . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148<br />
22.4 The p and q terms in the Jastrow factor . . . . . . . . . . . . . . . . . . . . . . . . . . 148<br />
22.5 The three-body W term . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148<br />
23 Backflow transformations 149<br />
23.1 The generalized backflow transformation . . . . . . . . . . . . . . . . . . . . . . . . . . 149<br />
23.2 Constraints on the backflow parameters . . . . . . . . . . . . . . . . . . . . . . . . . . 150<br />
23.3 Improving the nodes <strong>of</strong> Ψ T . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151<br />
24 Statistical analysis <strong>of</strong> data 152<br />
24.1 The reblocking method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152<br />
24.2 Estimate <strong>of</strong> the correlation time given by <strong>CASINO</strong> . . . . . . . . . . . . . . . . . . . . 153<br />
24.3 Estimating equilibration times and correlation periods . . . . . . . . . . . . . . . . . . 154<br />
25 Wave-function optimization 154<br />
25.1 Variance minimization: the standard method . . . . . . . . . . . . . . . . . . . . . . . 154<br />
25.2 Variance minimization: the ‘varmin-linjas’ method . . . . . . . . . . . . . . . . . . . . 157<br />
25.3 Energy minimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158<br />
26 Alternative sampling strategies 163<br />
26.1 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163<br />
26.2 Alternative sampling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163<br />
27 Use <strong>of</strong> localized orbitals and bases in <strong>CASINO</strong> 165<br />
27.1 Theoretical background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165<br />
27.2 Using <strong>CASINO</strong> to carry out ‘linear-scaling’ QMC calculations . . . . . . . . . . . . . . 167<br />
28 Twist averaging in QMC 169<br />
28.1 Periodic and twisted boundary conditions . . . . . . . . . . . . . . . . . . . . . . . . . 169<br />
28.2 Using twisted boundary conditions in <strong>CASINO</strong> . . . . . . . . . . . . . . . . . . . . . . 170<br />
28.3 Monte Carlo twist averaging within <strong>CASINO</strong> . . . . . . . . . . . . . . . . . . . . . . . 170<br />
29 Finite-size correction to the kinetic energy 173<br />
29.1 Finite-size correction due to long-ranged correlations . . . . . . . . . . . . . . . . . . . 173<br />
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